Harnessing computational tools of the digital era for enhanced infection control-Reference-Cited by-同舟云学术

Harnessing computational tools of the digital era for enhanced infection control

Published:2024-09-12 Issue:1 Volume:24 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Branda Francesco

Abstract

AbstractThis paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resistance, emphasizing the critical role of interdisciplinary collaboration, ethical data practices, and integration of advanced computational tools in modern healthcare.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12911-024-02650-9.pdf

Reference25 articles.

1. Hossain E, Rana R, Higgins N, Soar J, Barua PD, Pisani AR, Turner K. Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review. Comput Biol Med. 2023;155:106649.

2. Chen X, Xie H, Cheng G, Poon LK, Leng M, Wang FL. Trends and features of the applications of natural language processing techniques for clinical trials text analysis. Appl Sci. 2020;10(6):2157.

3. Chang Y, Wang X, Wang J, Wu Y, Yang L, Zhu K, Chen H, Yi X, Wang C, Wang Y, Ye W. A survey on evaluation of large language models. ACM Trans Intell Syst Technol. 2024;15(3):1–45.

4. Deiner MS, Deiner NA, Hristidis V, McLeod SD, Doan T, Lietman TM, Porco TC. Use of large Language models to assess the likelihood of Epidemics from the content of tweets: Infodemiology Study. J Med Internet Res. 2024;26:e49139.

5. Kwok KO, Huynh T, Wei WI, Samuel YS, Arthur Rileys. TA. Utilizing large Language models in Infectious Disease Transmission Modelling for Public Health Preparedness. Comput Struct Biotechnol J. 2024 Aug 8.